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ACKNOWLEDGMENTS
This work is funded by the Information Technol-
ogy Industry Development Agency (ITIDA), Infor-
mation Technology Academia Collaboration (ITAC)
Program, Egypt – Grant Number (PRP2019.R26.1 - A
Robust Wearable Activity Recognition System based
on IMU Signals).
We also would like to thank all the students who
participated in collecting the dataset.
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